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Vulnerable newborn phenotypes in Peru: a population-based study of 3,841,531 births at national and subnational levels from 2012 to 2021

  • Kim N. Cajachagua-Torres
  • , Hugo G. Quezada-Pinedo
  • , Wilmer Cristobal Guzman-Vilca
  • , Carla Tarazona-Meza
  • , Rodrigo M. Carrillo-Larco
  • , Luis Huicho
  • Erasmus MC
  • New York University Grossman School of Medicine
  • Universidad Peruana Cayetano Heredia
  • Institute of Primary Health Care (BIHAM)
  • Universidad Peruana Cayetano Heredia
  • Universidad Peruana Cayetano Heredia, Facultad de Medicina Alberto Hurtado
  • Universidad Peruana Cayetano Heredia
  • Johns Hopkins Bloomberg School of Public Health
  • Universidad Científica del Sur
  • Rollins School of Public Health
  • Emory University School of Medicine

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

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Resumen

Background: We aimed to examine the national and subnational prevalence of vulnerable newborn phenotypes in Peru, 2012–2021. Methods: Newborn phenotypes were defined using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight [LBW], non-LBW) using the Peruvian National Birth Registry as six (by excluding birthweight) and ten newborn phenotypes (using all three outcomes). Small phenotypes (with at least one classification of PT, SGA, or LBW) were further considered. Using individual-level data, we stratified the phenotypes by maternal educational level, maternal age, healthcare insurance, altitude of residence, and geographic region (Coast, Andes, and Amazon). Findings: The prevalence of the five vulnerable newborn phenotypes for the study period was LGA+T (15.2%), AGA+PT (5.2%), SGA+T (4.6%), LGA+PT (0.8%), and SGA+PT (0.7%). The Coast had a higher prevalence of newborns with large phenotypes (19.4%) and the Highlands a higher prevalence of newborns with small phenotypes (12.5%). Mothers with poor socioeconomic status, extreme ages and living at high altitude had a higher prevalence of newborns with small phenotypes, and mothers who were wealthier, more educated, and older had a higher prevalence of infants with large phenotypes. Interpretation: Our findings cautiously suggest that socioeconomic and geographic disparities may play a crucial role in shaping vulnerable newborn phenotypes at national and subnational level in Peru. Further studies using longitudinal data are needed to corroborate our findings and to identify individual-level risk factors. Funding: Ter Meulen Grant from the KNAW Medical Sciences Fund of the Royal Netherlands Academy of Arts and Sciences ( KNAWWF/1085/TMB406, KNAWWF/1327/TMB202116), Fogarty Program ( D43TW011502).

Idioma originalInglés
Número de artículo100695
PublicaciónThe Lancet Regional Health - Americas
Volumen31
DOI
EstadoPublicada - mar. 2024

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